Our Team at Applied Informatics Rocks!

At Applied Informatics, we have a team of developers we are proud of! Our incredible dev team rocked last year and is all set to do the same this year!

Last year they worked tirelessly towards various ResearchKit based projects, one of which was Phendo App developed in collaboration with Columbia University researchers. And thanks to Researchdroid – the Android port to ResearchKit they developed – Android users can also now track and contribute their endometriosis signs and symptoms data to Phendo.

Phendo caught quite a bit of attention on social media too, giving us a great start to the year 2017, with PadmaLakshmi – an India-born American author, actress, model, television host and executive producer – tweeting about it and tagging @Appinformatics. You can read more about other projects at Applied Informatics here.

Participants were asked to discuss the fundamentals of Blockchain technology, examine how the use of Blockchain can advance industry interoperability needs expressed in the ONC’s Shared Nationwide Interoperability Roadmap, as well as for Patient Centered Outcomes Research (PCOR), the Precision Medicine Initiative (PMI) and other healthcare delivery needs including call for recommendations for Blockchain’s implementation. ONC received over 70 submissions, fifteen of which were announced winners.

Our white paper titled “PyQy ­A protocol to enable open, trustworthy physician quality reporting and payments using the blockchain technology” was on ONC’s submission bank. In this white paper, we proposed the application of blockchain technology and smart contracts to the process of physician quality reporting and payments that are cornerstones of quality driven healthcare and pay for performance approach to health care.

Around the same time we also had our paper titled “Using Deep Learning Towards Biomedical Knowledge Discovery” published in International Journal of Mathematical Sciences and Computing (IJMSC). In this paper the lead author and Deep Learning lead Nadeem Nazeer, our CTO Dr Chintan Patel, and Dr Sharib Khan, our CEO investigated the use of deep learning methods to identify hidden patterns from large corpus of biomedical text, publications, and clinical notes.

One of the academic publications from University of Freiburg, Germany, mentioned us and our sister concern TrialX, in relation to our work with ResearchKit and our product Appbakery. Appbakery is a DIY research study app building platform for researchers who want to collect remote patient data for their research. The publication validates our approach, and mentions that our research study app building solution is only one available “commercially”.

Later in the year, we saw our America Walks Study paper get accepted by AMIA for presentation at AMIA2017. We built the first cross-platform ResearchKit based observational study app – The America Walks Study App – which aimed to collect remote data on walking behaviour of Americans.

Interviewing some clinical researchers, we had observed that, they would lose out on a significant population of android users as their study participants if the app was not android compatible. So we built ResearchDroid – the android port of Apple’s ResearchKit – which allowed our apps to be Android compatible. The America Walks Study App worked seamlessly on both iOS and Android platforms.